code: def tile(cls, op: "DataFrameDropNA"):
      in_df = op.inputs[0]
      out_df = op.outputs[0]
  
      if not _drop_na_enable_no_default:
          op._how = None if op.how is no_default else op.how
          op._thresh = None if op.thresh is no_default else op.thresh
  
      # series tiling will go here
      if len(in_df.chunk_shape) == 1 or in_df.chunk_shape[1] == 1:
          return cls._tile_drop_directly(op)
  
      subset_df = in_df
      if op.subset:
          subset_df = in_df[op.subset]
      count_series = yield from recursive_tile(
          subset_df.agg(
              "count", axis=1, _use_inf_as_na=op.use_inf_as_na
          )
      )
  
      (
          nsplits,
          out_shape,
          left_chunks,
          right_chunks,
      ) = align_dataframe_series(in_df, count_series, axis=0)
      out_chunk_indexes = itertools.product(
          *(range(s) for s in out_shape)
      )
  
      out_chunks = []
      for out_idx, df_chunk in zip(out_chunk_indexes, left_chunks):
          series_chunk = right_chunks[out_idx[0]]
          kw = dict(
              shape=(np.nan, nsplits[1][out_idx[1]]),
              dtypes=df_chunk.dtypes,
              index_value=df_chunk.index_value,
              columns_value=df_chunk.columns_value,
          )
  
          new_op = op.copy().reset_key()
          new_op._drop_directly = False
          new_op._subset_size = (
              len(op.subset) if op.subset else len(in_df.dtypes)
          )
          out_chunks.append(
              new_op.new_chunk(
                  [df_chunk, series_chunk], index=out_idx, **kw
              )
          )
  
      new_op = op.copy().reset_key()
      params = out_df.params.copy()
      new_nsplits = list(tuple(ns) for ns in nsplits)
      new_nsplits[0] = (np.nan,) * len(new_nsplits[0])
      params.update(dict(nsplits=tuple(new_nsplits), chunks=out_chunks))
      return new_op.new_tileables(op.inputs, **params)
  
imports: import itertools
  import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType, recursive_tile
  from ...config import options
  from ...serialization.serializables import AnyField, BoolField, StringField, Int32Field
  from ...utils import no_default, pd_release_version
  from ..align import align_dataframe_series
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, validate_axis
label_desc: Use image node_id 11 for calling the DataFrameDropNA obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op, cls